Variable step-size sign subband adaptive filter with subband filter selection
- Authors
- Cho, Jaegeol; Baek, Hyun Jae; Park, Bum Yong; Shin, Jaewook
- Issue Date
- Nov-2018
- Publisher
- Elsevier BV
- Keywords
- Adaptive filter; Sign subband adaptive filter; Subband filter selection; Variable step size; Impulsive noise
- Citation
- Signal Processing, v.152, pp 141 - 147
- Pages
- 7
- Journal Title
- Signal Processing
- Volume
- 152
- Start Page
- 141
- End Page
- 147
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5567
- DOI
- 10.1016/j.sigpro.2018.05.027
- ISSN
- 0165-1684
1872-7557
- Abstract
- This letter proposes a novel sign subband adaptive filtering (SSAF) algorithm with a subset selection for subband filters, called the SS-SSAF. The proposed algorithm achieves the fast convergence performance and reduces the computational complexity by a proposed sufficient condition. The condition associated with each subband immediately ensures the decrease of the mean square deviation (MSD) value at every iteration. Furthermore, we suggest the variable step-size algorithm for SS-SSAF to achieve both fast convergence speed and small steady-state errors. Simulation results show that the proposed algorithm with fixed step-size performs better than the conventional SSAF and the other improved SSAF algorithms in terms of the convergence rate. In addition, the performance of proposed variable step-size algorithm is demonstrated in the system identification compared with recent variable step-size SSAFs. (C) 2018 Elsevier B.V. All rights reserved.
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Collections - College of Medical Sciences > Department of Biomedical Mechatronics > 1. Journal Articles
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